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CIO Applications Weekly Brief

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  • Machine Learning
Editor's Pick (1 - 4 of 8)
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Democratizing Machine Learning Algorithms for Integrated Data-Sharing

Democratizing Machine Learning Algorithms for Integrated Data-Sharing
Andre Mutovic, CIO, ION Media Networks

The Tango of AI and Big Data

The Tango of AI and Big Data
Monica Khurana, CTO/CIO in Financial Services, Guardian Life Insurance

Transforming the Art Museum in the 21st Century.

Transforming the Art Museum in the 21st Century.
Jane Alexander, CIO, Cleveland Museum of Art

Machine Learning: The Future from the Perspective of Model Building

Machine Learning: The Future from the Perspective of Model Building
Markus Levy, Director of Enabling Technology, NXP Semiconductors

The State-Of Machine Learning Adoption in the Enterprise

The State-Of Machine Learning Adoption in the Enterprise
Sangeeta Edwin, Vice President, Data, Analytics & Insights, Rockwell Automation

Inside the Latest in Machine Learning

Inside the Latest in Machine Learning
Troy Lau, Group Leader in Machine Intelligence, Draper

Recent Trends in Machine Learning

Recent Trends in Machine Learning
Sears Merritt, Head of Data, Strategy & Architecture, MassMutual

Balancing Accuracy With Interpretability in Machine Learning Models

Balancing Accuracy With Interpretability in Machine Learning Models
Joshua Mabry Expert in Advanced Analytics practice

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How Machine Learning is Changing the Role of Advertising

By CIO Applications| Monday, February 01, 2021
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The insights ML can offer are fantastic. Profile details and behavioral insights mean that one could see each person in their target audience with precision.

Fremont, CA: There's a lot of publicity around machine learning (ML). It is, in truth, one of the most burning business subjects at the moment. However, ML's vast scope of viable applications for media experts, vendors, and stores are quite evident.

top machine learning companies

Numerous vendors are dealing with the high amount of data they can access. Collecting even the necessary insights into the knowledge has become difficult due to the sheer volume and the different ways in which it may be evaluated. That means targeting advertisements and deeply knowing the target audience is almost incomprehensible. Swimming through historical reporting takes way too much time.

 

To do this, one needs to use machine learning, a kind of AI that allows machines to learn things by being specifically programmed to big jobs, literally the way the human brain does.

In advertising, machine learning makes it possible, ultimately, to mimic the mind of an experienced purchaser as software to make similar optimizations that the purchaser would do. In addition, after some time, the framework learns and generates more consistent results as it deals with new campaigns, generating connections that can be intense for the human mind to identify.

See Also: Top Artificial Intelligence Companies

The insights ML can offer are fantastic. Profile details and behavioral insights mean that one could see each person in their target audience with precision. As one might know, this is known as "cognitive." Cognitive intelligence includes information such as user persona, cognitive, media preferences, interests, and desires. Cognitive advertising makes value to consumers by knowing their thought more thoroughly than ever before, and ML and AI are the developments behind it.

Social networking sites are an amazing source of knowledge. These sites are where individuals chat about their inclinations, follow their favorite musicians, and draw on the locations they've been to. Machine learning systems can be used to generate inputs to help advertisers link to their primary target audience more precisely.

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